🌍 Last 2 days left for registration for One-Month International Bioinformatics Workshop by Decode Life
💥 Proteins: Sequence, Structure & Function (2nd Edition) - 2025 💥
📅 Duration: 14 June - 8 July 2025
💲 Fees: ₹1300 for Indian Participants / $30 for International Participants
🔗 Registration Link: https://decodelife.co.in
✨ Key Features:
✅ 20 sessions with approximately 35 hours of learning
✅ E-Certificate of Participation
✅ Video recordings and relevant material shared after each session
❔ FAQs: https://decodelife.co.in/faq/
📢 Follow the Bioinformatics channel on WhatsApp: https://whatsapp.com/channel/0029Va9vA2uEAKW8ArDhSB04
📲Channel: @Bioinformatics
💥 Proteins: Sequence, Structure & Function (2nd Edition) - 2025 💥
📅 Duration: 14 June - 8 July 2025
💲 Fees: ₹1300 for Indian Participants / $30 for International Participants
🔗 Registration Link: https://decodelife.co.in
✨ Key Features:
✅ 20 sessions with approximately 35 hours of learning
✅ E-Certificate of Participation
✅ Video recordings and relevant material shared after each session
❔ FAQs: https://decodelife.co.in/faq/
📢 Follow the Bioinformatics channel on WhatsApp: https://whatsapp.com/channel/0029Va9vA2uEAKW8ArDhSB04
📲Channel: @Bioinformatics
❤5
📑 Graph Neural Networks in Modern AI-aided Drug Discovery
🗓Publish year: 2025
🧑💻Authors: Odin Zhang, Haitao Lin, Xujun Zhang, ...
🏢Universities: Zhejiang University, Hangzhou & Westlake University, China - Harvard University, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #ai #gnn #graph_neural_network
🗓Publish year: 2025
🧑💻Authors: Odin Zhang, Haitao Lin, Xujun Zhang, ...
🏢Universities: Zhejiang University, Hangzhou & Westlake University, China - Harvard University, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #ai #gnn #graph_neural_network
👏6❤3
📽 Generating Phylogenetic Tree for Genes in Google Colab
🎞 Watch
📲Channel: @Bioinformatics
#video #phylogenetic #colab
🎞 Watch
📲Channel: @Bioinformatics
#video #phylogenetic #colab
❤7👍1
📃 Hallmarks of artificial intelligence contributions to precision oncology
📕 Journal: Nature Cancer (🔥I.F.=23.5)
🗓Publish year: 2025
🧑💻Authors: Tian-Gen Chang, Seongyong Park, Alejandro A. Schäffer, ...
🏢Universities: National Cancer Institute, USA
📎 Study the paper
📀 Data
📦 Code
📲Channel: @Bioinformatics
#review #ai #cancer #oncology
📕 Journal: Nature Cancer (🔥I.F.=23.5)
🗓Publish year: 2025
🧑💻Authors: Tian-Gen Chang, Seongyong Park, Alejandro A. Schäffer, ...
🏢Universities: National Cancer Institute, USA
📎 Study the paper
📀 Data
📦 Code
📲Channel: @Bioinformatics
#review #ai #cancer #oncology
❤5
📄Knowledge mapping of graph neural networks for drug discovery: a bibliometric and visualized analysis
📔 Journal: Frontiers in Pharmacology (I.F.=4.8)
🗓Publish year: 2025
🧑💻Authors: Rufan Yao, Zhenhua Shen, Xinyi Xu, ...
🏢University: Shenyang Pharmaceutical University, Shenyang, China
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📲Channel: @Bioinformatics
#review #drug #discovery #bibliometric
📔 Journal: Frontiers in Pharmacology (I.F.=4.8)
🗓Publish year: 2025
🧑💻Authors: Rufan Yao, Zhenhua Shen, Xinyi Xu, ...
🏢University: Shenyang Pharmaceutical University, Shenyang, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #discovery #bibliometric
❤3👍2
📑 Recent advances in deep learning for protein-protein interaction: a review
📗 Journal: BioData Mining (I.F.=4)
🗓Publish year: 2025
🧑💻Authors: Jiafu Cui, Siqi Yang, Litai Yi, ...
🏢Universities: Inner Mongolia University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #ppi #deep_learning #protein
📗 Journal: BioData Mining (I.F.=4)
🗓Publish year: 2025
🧑💻Authors: Jiafu Cui, Siqi Yang, Litai Yi, ...
🏢Universities: Inner Mongolia University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #ppi #deep_learning #protein
👍3🔥1
📃 Mapping Cell Atlases at the Single-Cell Level
📗 Journal: Advanced Science (I.F.=14.1)
🗓Publish year: 2025
🧑💻Authors: Fang Ye, Jingjing Wang, Jiaqi Li, , ...
🏢Universities: Zhejiang University School of Medicine & ZhejiangUniversity, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #single_cell #cell #atlas
📗 Journal: Advanced Science (I.F.=14.1)
🗓Publish year: 2025
🧑💻Authors: Fang Ye, Jingjing Wang, Jiaqi Li, , ...
🏢Universities: Zhejiang University School of Medicine & ZhejiangUniversity, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #single_cell #cell #atlas
👍4❤2
📑 Computational prediction of promotors using the machine learning technique
💥Technical Document from University of Groningen, Netherlands
🗓Publish year: 2024
📎 Study
📲Channel: @Bioinformatics
#promotor #machine_learning
💥Technical Document from University of Groningen, Netherlands
🗓Publish year: 2024
📎 Study
📲Channel: @Bioinformatics
#promotor #machine_learning
❤8👍1
📼 Integrating RAG Chatbots into Bioinformatics Platforms
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #llm #rag
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #llm #rag
YouTube
Integrating RAG Chatbots into Bioinformatics Platforms
The advent of large language models (LLMs) has revolutionized numerous fields with their impressive performance on a variety of natural language processing tasks. However, their application in biomedical research remains controversial due to their well-documented…
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📃 Bioinformatics Applications in Chronic Diseases: A Comprehensive Review of Genomic, Trannoscriptomics, Proteomic, Metabolomics, and Machine Learning Approaches
📘 Journal: Medinformatics
🗓Publish year: 2024
🧑💻Authors: Taiwo Temitope Ogunjobi, Precious Nkeiruka Ohaeri, Olamide Tayo Akintola, ...
🏢Universities: Ladoke Akintola University of Technology & Obafemi Awolowo University & Lagos State University, Nigeria
📎 Study the paper
📲Channel: @Bioinformatics
#review #Chronic #genomic #trannoscriptomics #proteomic #metabolomics #machine_learning
📘 Journal: Medinformatics
🗓Publish year: 2024
🧑💻Authors: Taiwo Temitope Ogunjobi, Precious Nkeiruka Ohaeri, Olamide Tayo Akintola, ...
🏢Universities: Ladoke Akintola University of Technology & Obafemi Awolowo University & Lagos State University, Nigeria
📎 Study the paper
📲Channel: @Bioinformatics
#review #Chronic #genomic #trannoscriptomics #proteomic #metabolomics #machine_learning
❤4👍3👏1